Triple
T37708952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic seminaries |
E939273
|
entity |
| Predicate | typicalStudent |
P90641
|
FINISHED |
| Object | candidates for priesthood |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: candidates for priesthood | Statement: [Catholic seminaries, typicalStudent, candidates for priesthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStudent Context triple: [Catholic seminaries, typicalStudent, candidates for priesthood]
-
A.
typicalStudentStatus
Indicates the usual or standard enrollment or academic standing that a student typically holds within an educational context.
-
B.
typicalStudentDemographic
chosen
Indicates the usual or most common demographic group (e.g., age, background, characteristics) that students of a given institution, program, or course belong to.
-
C.
typicalStudentOutcome
Indicates the usual or expected result, achievement, or status that students generally attain under normal conditions.
-
D.
typicalStudentAssignment
Indicates that an assignment is a standard or commonly expected task given to a student in a particular educational context.
-
E.
typicalStudentBackground
Indicates that an entity has the usual or commonly expected background or profile for a student in a given context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.